The correct option is B. False. The statement "Decision Making Matrix: Likelihood (X axis) and Severity (Y axis) split into 9 squares - top right corner= high risk, bottom left corner= low risk" is false. The bottom left corner represents low likelihood and low severity, not low risk.
The statement is false. In a decision-making matrix, the x-axis typically represents the likelihood or probability of an event occurring, while the y-axis represents the severity or impact of that event. The purpose of the matrix is to analyze and prioritize risks or decisions based on these two factors.
The matrix is divided into different squares or regions to help categorize and assess the risks. The specific number of squares or regions may vary depending on the particular matrix used, but a common setup is to divide the matrix into four quadrants. These quadrants are based on combinations of high and low likelihood and high and low severity.
In the top right quadrant, we typically find the high-risk area. This quadrant represents situations with a high likelihood of occurrence and high severity or impact if they do occur. On the other hand, the bottom left quadrant represents low-risk situations, where both the likelihood and severity are low.
So, while the top right corner may indeed represent high risk in a decision-making matrix, the bottom left corner does not represent low risk. Instead, it represents low likelihood and low severity, which would fall into the low-risk category.
Therefore, the correct option is B. False.